Title :
Definite Neural Modeling Method for Time-varying Large Delay System
Author :
Feng, Pan ; Ru-cheng, Han ; Ze-ying, Zhi ; Long, Zuo ; Hong-bing, Liu
Author_Institution :
Coll. of Electron., Taiyuan Univ. of Sci. & Technol.
Abstract :
A modeling method based on neuron and RBF neural network for time-varying delay system is presented. Neuron is applied to identify the delay of system; RBF neural network is used to identify other time-varying parameters, for delay has been separated from other parameters, so the structure of RBF neural network is simple, and the training of RBF neural network is quickly. These two neural methods is serial, and training with the same cost function. Because the training time is short, this method can be used in on-line identification of nonlinear delay system
Keywords :
delay systems; large-scale systems; neurocontrollers; nonlinear control systems; radial basis function networks; time-varying systems; RBF neural network; neural modeling method; nonlinear delay system; time-varying large delay system; Adaptive control; Cost function; Delay systems; Industrial training; Intelligent control; Mathematical model; Neural networks; Neurons; Programmable control; Time varying systems;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614776
